# linkedin/dr-elephant

Dr. Elephant is a job and flow-level performance monitoring and tuning tool for Apache Hadoop and Apache Spark

Repository: https://github.com/linkedin/dr-elephant
Canonical: https://ross.abutalabs.com/products/dr-elephant
Language: Java
License: Apache-2.0
License Family: permissive
Last push: 2023-08-22T10:16:45+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3836, "days_push": 1107, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1369, forks 840 (observed 2026-08-28T04:04:31.781827+00:00)

## What it is
Dr. Elephant is a self-serve performance monitoring and tuning tool for Apache Hadoop and Apache Spark jobs and workflows. It automatically collects job metrics, analyzes them with pluggable rule-based heuristics, and presents tuning suggestions through a web UI.

## Use cases
- monitor hadoop and spark job performance
- find why my spark job is slow
- tune hadoop mapreduce job configuration
- analyze cluster job efficiency across workflows
- get tuning suggestions for big data jobs
- track job-level metrics over time

## When to choose
- you run Hadoop or Spark clusters and want automated job performance analysis
- you need heuristic-based tuning suggestions without manual metric digging
- you want a self-hosted web dashboard for job and flow-level monitoring

## When to avoid
- you use modern alternatives like Spark 3 event-log UIs, YARN services, or cloud-native job analyzers
- your stack has no Hadoop or Spark workloads
- you need actively developed tooling - the project sees only occasional maintenance releases

## Facets
- artifact type: application
- maturity: maintenance
- function: monitoring, analytics, benchmarking
- domain: big-data, analytics, performance
- platform: jvm, self-hosted
- tags: hadoop, spark, job-tuning, heuristics, performance-monitoring, devops, web-server

## Member repositories
- linkedin/dr-elephant (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:31.781827+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:40:59.746042+00:00, confidence not recorded.
  - readme: https://github.com/linkedin/dr-elephant (fetched 2026-08-28T04:04:31.781827+00:00, sha e34b7e16891c)
- Data as of 2026-08-30T08:39:29.467469+00:00.